chore(deps): update vllm/vllm-openai docker tag to v0.26.0 - #171
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chore(deps): update vllm/vllm-openai docker tag to v0.26.0#171konflux-internal-p02[bot] wants to merge 1 commit into
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This PR contains the following updates:
v0.23.0→v0.26.0Release Notes
vllm-project/vllm (vllm/vllm-openai)
v0.26.0Compare Source
vLLM v0.26.0 Release Notes
Highlights
This release features 411 commits from 212 contributors (61 new)!
fused_topk_bias(1.5–2x kernel, #47463), and redundant repeat/copy removal (1.8% E2E TPOT, #48137), plus ROCm two-stage compressor for HCA prefill (#47718), sparse decode/prefill optimizations (#48519, #48788, #46275), and DSpark speculative decoding on AMD (#47419) and XPU (#47677).lm_headfor generation models viahead_dtype(#48390), extended to the LoRA path (#48525) and given a ROCmtorch.mmfast path (#48688), improving accuracy for generation heads.vllm-benchport (#48107).Model Support
lm_headon the LoRA path (#48525), optimizedTrtLlmLoRAExperts(#48759).torch.compile(#48901).Engine Core
lm_headfor generation models viahead_dtype(#48390); lower memory for capturing large CUDA graph sizes (#48483); opt-in persistence and reuse of the memory-profiling result across boots (#47388); improved InstantTensor loading (#46868).kv_cache_dtypeforspeculative_config(#48787).blocks_per_chunkconfig for heterogeneous KV groups (#48878), P2P default host/port env vars (#47636).new_block_ids(#44490), DSv3.2 + MTP + sequence-parallel accuracy (#48036).Hardware & Performance
fused_topk_bias1.5–2x (#47463), redundant repeat/copy removal (1.8% TPOT, #48137)._copy_mamba_state_blockto uint64 (#48110), stop upcasting logits to fp32 in the sampler (#48641).head_dtypetorch.mmfast path (#48688), DSv4 two-stage compressor kernel (#47718), sparse decode/prefill optimizations (#48519, #48788, #46275), DSv3.2 sparse MLA KV-split heuristic (#46832) and MTP CUDA-graph mode (#45149), MXFP8 GEMM for MiniMax-M3 (#46117), AITER sparse paged attention + spec decode for MiniMax-M3 (#47287, #47984), MiniMax-M2 fused QK-norm + all-reduce via AITER (#44849), HybridW4A16 linear kernel (#40977), Qwen3-30B-A3B QK-Norm+RoPE+KV runtime fusion (#42749).Large Scale Serving & Distributed
Quantization
nvfp4_per_tokenonline MoE quantization (#48538), CuTe-DSL FlashInfer MXFP4 quantization (#48417); bounded peak memory when repacking FP4 MoE weights for Marlin (#47851) and for NVFP4 MoE weight loading (#46276).kv_cache_dtype_skip_layerssupport (#47309).API & Frontend
vllm-benchport (#48107),continue_final_messagehandling with renderer sentinel (#47844).bad_wordsin/v1/completions(#46793), exposelogprob_token_idson Python OpenAI endpoints (#43463),include_reasoningparam for non-Harmony models (#44301), populatenum_cache_creation_tokenson Messages responses (#48535)./abort_requestson the RLHF dev API router (#47173); Deepstream video decoding backend (#42424); overlap preprocessing and computation for pooling models in offline inference (#47699).Security
Dependencies
Deprecations & Removals
New Contributors
Contributors
@mgoin, @yewentao256, @NickLucche, @njhill, @LucasWilkinson, @micah-wil, @khluu, @AndreasKaratzas, @WoosukKwon, @aoshen02, @BugenZhao, @vanshbhatia-amd, @jperezdealgaba, @jeejeelee, @hmellor, @tlrmchlsmth, @MatthewBonanni, @Change72, @chaojun-zhang, @gau-nernst, @gnovack, @ZJY0516, @reidliu41, @Yejing-Lai, @taneem-ibrahim, @Srinivasoo7, @Sunt-ing, @AmeenP, @zhenwei-intel, @LopezCastroRoberto, @matteso1, @yzong-rh, @stefankoncarevic, @Isotr0py, @djramic, @charlifu, @peizhang56, @giuseppegrossi, @drakosha, @NickCao, @benchislett, @Rohan138, @hickeyma, @muhammadfawaz1, @rasmith, @zixi-qi, @music-dino, @BWAAEEEK, @xianbaoqian, @wendyliu235, @atalman, @joerowell, @ErenAta16, @AlejandroParedesLT, @gcanlin, @liranschour, @omerpaz95, @Alex-ai-future, @tanpinsiang, @Fangzhou-Ai, @KKothuri, @zxd1997066, @akii96, @nemanjaudovic, @Etelis, @afierka-intel, @DaoyuanLi2816, @HDCharles, @tahsintunan, @xiaohongchen1991, @sagearc, @mikekg, @kliuae, @qli88, @arpera, @yushangdi, @edwinlim0919, @tjtanaa, @ariG23498, @lucifer1004, @netanel-haber, @kl527, @Rukhaiya2004, @ronensc, @guan404ming, @shaunkotek, @liulanze, @pierDipi, @eldarkurtic, @simon-mo, @robinguo23, @CienetStingLin, @RishabhSaini, @Sahil170595, @jasonlizhengjian, @jacklin78911-collab, @walterbm, @amd-ethany, @zqzten, @nicklasfrahm, @hongxiayang, @alexeldeib, @ManaEstras, @sungbin1015, @aoright, @Saddss, @vivek8123, @voipmonitor, @shawntsai, @almayne, @ilmarkov, @cleonard530, @kjiang249, @chaunceyjiang, @bigPYJ1151, @tsvikas, @deng451e, @tvirolai-amd, @zhewenl, @zihaomu, @ap9272, @staugust, @Yancey0623, @GongLei-HW, @albertoperdomo2, @guoriyue, @ViranjanPagar, @Functionhx, @XuZhou26, @MynameFelix, @larryli2-amd, @ashwing, @thisisjimmyfb, @robertgshaw2-redhat, @mayuyuace, @ibondarenko1, @zhejiangxiaomai, @vx120, @hugo-cen, @tanish-malekar, @zzt93, @guybd, @R3hankhan123, @mmangkad, @omera-nv, @yma11, @Gavin-Morris-04, @pavanimajety, @shanjiaz, @wenpengw-nv, @atalhens, @langzhao-netizen, @emricksini-h, @Zhenzhong1, @DanBlanaru, @mgehre-amd, @mwoodson, @wangxiyuan, @adsridhar, @hnt2601, @gangula-karthik, @tomerg-nvidia, @adhi29, @rishitdholakia13, @divakar-amd, @chaeminlim-mb, @joanvelja, @russellb, @janeyx99, @aarushjain29, @wjabbour, @mahadrehmann, @krishy91, @tzielinski-habana, @avalliappan-nvidia, @ruikangliu, @majian4work, @maxyanghu, @brijrajk, @lengrongfu, @Josephasafg, @elvircrn, @xiaguan, @ricky-chaoju, @iyastreb, @ovidiusm, @tuukkjs, @noooop, @samnordmann, @AndyDai-nv, @xiao-llm, @DiegoCao, @yuvalluria, @jhu960213, @woosebastian, @Debasish-87, @esmeetu, @hao-aaron, @zhangj1an, @wendadawen, @juliendenize, @passtoor-agi, @mosya415, @labAxiaoming, @devalshahamd, @wangxingda, @xuebwang-amd, @fuscof-ibm, @alexxu-roblox, @frida-andersson, @lishunyang12, @izhuhaoran
v0.25.1Compare Source
vLLM v0.25.1
Highlights
This release features 2 commits from 2 contributors (1 new)!
v0.25.1 is a patch release containing two targeted bug fixes on top of v0.25.0.
Bug Fixes
import torchcodecraised aRuntimeErrorat import time when system FFmpeg was missing, which blocked startup (e.g.vllm serve Qwen/Qwen3-VL-2B-Instruct) even when TorchCodec was not in use. The error is now deferred to runtime so it only surfaces if TorchCodec is actually needed.!!!!!tokens. A dtype-match guard now routes incompatible mixed-dtype graphs to the safe path, while same-dtype models retain the full allreduce + RMSNorm + quant fusion.Contributors
@Isotr0py, @hugo-cen
New Contributors
v0.25.0Compare Source
vLLM v0.25.0 Release Notes
Highlights
This release features 558 commits from 232 contributors (64 new)!
Model Support
tok_sparse_selectfrom MSA replacing Triton kernels (#47502).mm_token_type_idsfix (#46552), tied-embeddinglm_head.biasfix (#46835).architecturescrash fix (#46037), DeepSeek-V2 hidden-size and aux-hidden-state fixes (#46986, #46973).Engine Core
Configuration
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